Microservices in Node.js: When They Help (and When They Hurt)

The Microservices Trap

A year ago, our team made a bold decision: “Let’s break our Node.js monolith into microservices!”

Fast-forward six months, and we were drowning in:

50+ API endpoints calling each other unpredictably

Debugging nigh…


This content originally appeared on DEV Community and was authored by Alex Aslam

The Microservices Trap

A year ago, our team made a bold decision: "Let’s break our Node.js monolith into microservices!"

Fast-forward six months, and we were drowning in:

  • 50+ API endpoints calling each other unpredictably
  • Debugging nightmares ("Which service failed?")
  • A 10x increase in AWS costs

We learned the hard way that microservices aren’t always the answer. Here’s when they shine—and when they backfire.

1. When Microservices Help

✅ Scenario 1: Scaling Specific Features

Problem: Our /recommendations API needed 10x more CPU than the rest of the app.
Solution: Isolated it into its own service, scaled independently.

// Before: Part of monolith
app.get('/recommendations', heavyMLProcessing);

// After: Dedicated microservice
fastify.get('/', heavyMLProcessing); // Scaled to 20 pods

Result: 80% cheaper than scaling the entire monolith.

✅ Scenario 2: Polyglot Tech Stacks

Problem: Real-time analytics needed Go’s performance.
Solution: Built a Go service for analytics, kept the rest in Node.js.

✅ Scenario 3: Team Autonomy

Problem: 10+ devs blocking each other on merges.
Solution: Split ownership by domain (payments, auth, etc.).

2. When Microservices Hurt

❌ Scenario 1: Over-Engineering

Mistake: Splitting a 5K LOC monolith into 10 services.
Pain:

  • Network latency between services
  • Distributed tracing became essential
  • Kubernetes complexity exploded

Lesson: Don’t microservice just because.

❌ Scenario 2: Poor Boundaries

Mistake: Letting services call each other directly.

// 😱 Tight coupling
await fetch('http://payments/api/charge');

Fix: Use an event bus (Kafka, NATS) for async communication.

❌ Scenario 3: Observability Debt

Mistake: No centralized logging/metrics.
Pain: Debugging required checking 5 different dashboards.
Fix: Adopted OpenTelemetry + Grafana.

3. The Hybrid Approach: Modular Monoliths

For many apps, modular monoliths offer the best balance:

  • Single codebase, but clean separation of domains
  • Optional split later (if needed)
src/
  ├── modules/
  │   ├── payments/ (Could become a microservice)
  │   ├── auth/     (Could become a microservice)
  │   └── orders/   (Could become a microservice)
  └── server.js     (Shared entry point)

When to choose this:
✔ Team size < 10
✔ Traffic < 10K RPS
✔ You might need microservices later

Key Takeaways

🔹 Do use microservices for:

  • Independent scaling
  • Polyglot stacks
  • Team autonomy

🔹 Avoid them for:

  • Small teams/apps
  • Tightly coupled features
  • Without observability tools

🔹 Consider modular monoliths as a middle ground.

Have you been burned by microservices? Share your story!


This content originally appeared on DEV Community and was authored by Alex Aslam


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Alex Aslam | Sciencx (2025-07-06T22:21:45+00:00) Microservices in Node.js: When They Help (and When They Hurt). Retrieved from https://www.scien.cx/2025/07/06/microservices-in-node-js-when-they-help-and-when-they-hurt/

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